The AI Visibility
Tools Index

One of the few free checkers with multi-model coverage. Useful for a quick baseline but not built for ongoing monitoring or trend tracking. Good first step before committing to a paid platform.

A simple entry point from HubSpot. Produces a one-time grade rather than continuous monitoring. Limited to a few models. Useful for teams that have never checked their AI visibility and want a fast read before investing in a paid tool.

Broader than most free tools — allows topic, persona, and brand visibility checks across three models. Source citation visibility is a useful feature for a free tier. Limited model coverage compared to paid platforms.

A free console-style tool for mapping brand relevance against topics and competitors. Good for an early-stage diagnostic. Not built for ongoing or scaled monitoring.

Entry point with a free report option. Paid tiers add ongoing tracking. Model coverage is solid for a lightweight tool. Useful before committing to a higher-cost platform.

In beta at time of review with a 7-day free trial. Wider model coverage than most tools in this tier including Grok. Trend tracking over time is the differentiator. Verify product status before adopting.

Mid-tier pricing with a clear plan ladder for different team sizes. Reddit analytics is an unusual feature at this price point. Good model coverage. Verify feature depth on lower tiers before committing.

Report-based pricing rather than subscriptions. Unusually broad model coverage including Deepseek and Grok. Good for ad-hoc checks. Not suited for ongoing monitoring programs. Low cost to test.

Strong feature set for a tool that tracks ChatGPT only. Reddit sentiment is a useful signal for brand perception. Single-model coverage is the main limitation. Verify whether additional models are being added.

Solid coverage at SMB pricing. Source discovery and recommended queries are useful for content teams that want to act on findings. Enterprise tier is waitlisted — verify availability.

Combines tracking with content creation tools, which separates it from pure monitoring platforms. Reddit signaling is an uncommon feature. Verify how tracking depth compares to standalone trackers at similar pricing.

One-time pricing is rare in this category. Deepseek coverage is a plus. Lifetime plan at $249 is low-risk for teams that want access without recurring cost. Verify current feature depth and update cadence before purchase.

Low entry price. ROI calculator and prompt generator add practical value at this tier. Model coverage is limited compared to competitors — only three models. Verify whether more are being added.

In private beta. Prompt recommendations and citation monitoring are strong features if the product delivers. No public pricing — request a demo before planning budget. Verify product maturity.

Low-cost entry with a free tier. Combines AI search ranking with analytics, which differentiates it from pure monitoring tools. Limited model coverage. Verify whether this is a distinct product or a feature set within a broader analytics platform.

PR and comms-oriented positioning. Factuality alerts are a useful feature for brands that need to monitor for inaccurate AI outputs. No public pricing — requires a direct conversation. Verify scope of regional monitoring.

Topic cluster heatmap is an unusual feature for this category. Grok coverage adds breadth. No public pricing. Verify current product status and whether the recommended query features connect to actionable content guidance.

Very low price point with content creation included. GEO-formatted local reports are a useful feature for local businesses. Five-model coverage at $14.99 is strong value. Verify report quality and data freshness before relying on it for client work.

Free analysis without account setup is a useful entry point. Five-model coverage including Meta AI. Clear plan ladder from SMB to agency. Verify feature depth on the free tier before committing to a paid plan.

Limited public information available. Focused on LLM platform presence. No pricing disclosed and feature details are sparse. Not recommended for purchase decisions without a demo. Verify before budget commitment.

Euro-denominated pricing with a clear agency tier and white-label reports. Three-model coverage is limited relative to competitors. White-label is useful for agency billing. Verify current model roadmap.

Tracks six models including Deepseek and Bing Copilot, which is broad for this price tier. Citation URL tracking adds practical value for content teams. Euro pricing — verify equivalent USD tiers before budgeting.

Exceptionally low price for the model coverage offered — six models including Llama and Mistral. Running prompts five times per model for statistical accuracy is a smart methodological choice. Verify what the free tier covers and how weekly update cadence compares to daily-update competitors.

Free AI Presence report is a useful evaluation tool before purchase. Mention tracking organized by product category is practical for multi-product brands. The jump from $100 to $500 is steep — verify what the Growth tier adds.

Google AI Mode and AI Overviews tracking alongside ChatGPT is strong coverage for teams focused on Google's AI search. Improvement actions move it slightly toward the optimization end of the spectrum. Free tier available for initial evaluation.

Seven-model coverage including Mistral, Deepseek, and Grok is unusually broad for this price tier. Real-time tracking is a differentiator versus tools with daily or weekly update cycles. Verify what optimization recommendations include before relying on them.

ChatGPT-only AI tracking embedded in a broader SEO suite. Screenshot proof of appearances is a useful feature for reporting. Gamified missions make it accessible for less technical teams. Single-model coverage is a significant limitation for teams wanting multi-model breadth.

AI tracking is a single-model add-on within a traditional SEO platform. Strong for rank tracking and SEO workflows. Not suitable as a primary AI visibility tool — ChatGPT-only coverage is too narrow for most AEO programs.

Entry price at $29 is accessible, but most useful features appear in higher tiers. LLM-specific keyword research is a practical feature for content teams. Verify what the Lite tier covers before assuming it replaces a more expensive platform.

Seven-model coverage on a free tier is notable. Campaign-level tracking by LLM is useful for teams running parallel content experiments. Verify what the free tier actually tracks versus what requires paid credits.

Credit-based pricing is unusual — understand the credit consumption model before committing. Leaderboard view and share of voice are practical for competitive tracking. Five-model coverage is solid for the pricing tier.

The four-stage journey framework is a differentiator for teams that want to think about buyer path, not just brand mention count. Report sharing is useful for agency or client workflows. Free plan available for initial evaluation.

Six-model coverage including social platforms for a share-of-voice tool. No public pricing — requires direct contact. Sentiment and perception tracking across product lines is useful for consumer brands. Not positioned for local or contractor markets.

Eight-model coverage including Google AI Mode and Copilot is among the broadest in the SMB tier. LLM data source discovery is a useful feature for content teams trying to understand which sources AI systems rely on. Free plan available.

Daily update cadence and citation page breakdowns are useful operational features. Deepseek coverage is a differentiator at this price tier. Top-page breakdowns show which pages are being cited, which is more actionable than pure mention counts.

Full AI response viewing rather than just summary metrics is a useful feature for content teams that want to understand the context of brand mentions. Keyword-based pricing model — plan around your actual keyword volume before purchasing.

Low entry price. Fact-checking of AI outputs is a practical feature for brands worried about AI hallucinations. Limited to three models including Sonar (Perplexity's API). Verify how often the brand score updates and what the fact-checking methodology covers.

GSC integration and URL indexing checks make this useful for SEO teams wanting to bridge traditional indexing with AI visibility. Pricing has moved upmarket from early-stage. Verify current feature depth and whether GSC integration is stable.

Structured scoring across multiple presence metrics makes it useful for reporting to marketing leadership. Content gap identification moves beyond tracking into tactical guidance. Annual billing model — verify month-to-month availability if budget flexibility is needed.

Higher price tier with content creation and LLMs.txt generation included. Strategy dashboards and search volume estimates position it for teams that want to plan content around AI visibility, not just monitor it. Verify what 'search volume estimates' actually measures — this is non-standard for AI visibility tools.

Prompt explorer and link tracking suggest a content-strategy angle. Four-model coverage at $75 is reasonable. Limited public information on full feature set — verify before purchase.

Tone analysis and consistency reporting are useful for agencies managing brand voice across AI answers. Bing Copilot coverage is less common. Three-model coverage is narrower than some competitors at this price. Free plan available for evaluation.

Strong B2B and SaaS positioning. Source discovery and improvement actions move it beyond pure monitoring. The free one-time report is useful for evaluating fit before paying $250/mo. Verify how page-level performance data is collected.

Eight-model coverage including Deepseek and Meta AI is among the broadest in this tier. Citation analysis at the domain and page level is the standout feature for agencies optimizing source strategy. Question intent analysis adds practical content planning value.

LLM traffic dashboard and Google AI Mode tracking are notable features. Seven-model coverage at $49 entry is strong value. Verify how LLM traffic is measured — this is still an evolving methodology across the industry.

Seven-model coverage including Grok, Mistral, and Meta AI is the widest in this tier. Graphing response changes over time is a practical feature for understanding AI answer evolution. Free plan available for initial evaluation.

Agency-focused with prompt suggestions and recommended actions — two features that move toward optimization rather than pure monitoring. Six-model coverage including Deepseek and Grok. Euro pricing — verify USD equivalent before budgeting.

LLM traffic dashboard including bounce and conversion data is an unusual feature — verify the measurement methodology before relying on it for reporting. Google AI Overviews tracking is strong. Seven-model coverage with Deepseek and Grok included.

AI Interviewer and demographic intelligence are distinctive features not common in this category. Seven-model coverage is broad. No public pricing — requires a direct conversation. Verify what demographic and conversion intelligence actually measures in the AI context.

Higher price tier with persona tracking and AI accuracy monitoring — features that are useful for brands managing specific product lines or worried about AI hallucinations. Recommended optimizations add actionable value beyond pure monitoring. Verify what 'AI accuracy tracking' entails.

Ecommerce-specific positioning with revenue impact dashboards — useful for teams that need to connect AI visibility to conversion metrics. Reddit visibility agent is an uncommon feature. Limited to three models. Verify revenue impact measurement methodology.

UGC radar within citation analysis is an unusual differentiator for teams tracking user-generated content as a source signal. Pro pricing is listed as 'coming soon' — verify current pricing and feature availability before committing. Free tier available for testing.

Content optimization recommendations are in beta. Category-level tracking is useful for brands operating across multiple product or service lines. No public pricing — requires a demo. Three-model coverage is on the narrower end for an agency-positioned tool.

Distinctive positioning around syndicating 'brand verified' data directly to AI providers — a different approach from monitoring-only platforms. AI ad campaign targeting is also mentioned. No public pricing. Verify the mechanism for data syndication and what 'brand verified' means in practice.

One of the few tools that connects AI visibility gaps directly to crawlability issues — a technically differentiated approach. Priced for large enterprise budgets. Not relevant for SMBs or agencies without significant technical SEO investment. Crawler analytics and log file analysis are the core strengths.

Nine-model coverage including Grok and Mistral is the widest in the enterprise tier. Persona identification and technical optimization recommendations move beyond monitoring. High price entry point — most relevant for enterprise brands with active AEO programs and teams to act on the recommendations.

A/B testing and AI feedback loops are unusual at the brand monitoring level. 'Protection and control features' suggest a focus on managing AI outputs about a brand, not just monitoring them. No public pricing. Verify what protection and control actually means in the product.

Optimization module and actionable content recommendations move this beyond pure monitoring. Custom reports are useful for enterprise teams with specific reporting requirements. No public pricing. Five-model coverage including Meta AI.

1.2M queries per month is significantly higher than most platforms in this category — designed for enterprise scale. Product-feature analysis and content roadmap integration suggest a connection to product marketing workflows. No public pricing. Not suitable for SMBs.

Geo and language ranking is important for brands operating across multiple markets. Optimization hub suggests actionable guidance beyond dashboards. No public pricing. Six-model coverage including Deepseek. Verify regional coverage depth before committing.

Two-year data retention is a significant differentiator for enterprise teams tracking long-term AI visibility trends. Six-model coverage including both Google AI Overviews and AI Mode. Built on a crawler foundation — strongest for teams that already use Lumar for technical SEO.

Usage-based pricing is unusual in this category — understand query volume costs before committing. Conversation Explorer and agent analytics suggest a focus on AI agent interactions, not just search mentions. Most useful for enterprise teams with high query volume. Verify current model coverage — appears narrower than some competitors.

Influential domain detection is a distinctive feature for teams trying to understand which third-party sources drive AI citations. Seven-model coverage including SearchGPT and Mistral is broad. In early access — verify product maturity and data freshness before committing.

Autonomus intelligence loop and blindspot tool suggest a more proactive approach than passive monitoring. GEO-specific focus. No public pricing and limited public detail — requires a direct conversation. Verify what 'autonomous' actually means in the product context.

Six-model coverage including Copilot and Google AI Mode is strong for an integrated SEO tool. AI features are actively being developed — verify current capabilities against standalone AI visibility platforms before assuming parity. Best value for teams already paying for Ahrefs.

Unlimited users, brands, and sites make this attractive for large organizations with multiple properties. AI visibility is a newer layer on an established SEO platform. Verify AI feature depth versus dedicated AI visibility tools before relying on it as a primary AI monitoring solution.

AI tracking is limited to Google AI Overviews — single model. Keyword cluster-level frequency tracking is practical for traditional SEO teams starting to monitor AI influence on SERPs. Not suitable as a primary AI visibility platform for multi-model programs.

AI Visibility Tracker is bundled in higher-tier plans. Three-model coverage is adequate for Google-focused SEO teams. Integrated with broader SEO data makes it easier to connect AI visibility trends to keyword and ranking changes.

AI features are being actively expanded within an established platform. Four-model coverage including SearchGPT. Best used alongside traditional SEO reporting rather than as a standalone AI monitoring solution. Verify current AI feature depth versus dedicated platforms.

Multi-language and regional tracking is a differentiator for global brands. AI features layer on top of Similarweb's existing competitive intelligence. Four-model coverage including Google AI Mode. Best for teams that already use Similarweb for web analytics.

Reverse brand search and entity recognition are technically differentiated features. Deepseek coverage alongside Google AI Overviews is solid. Free beta for existing customers makes it low-risk to evaluate. Verify when beta ends and what pricing will look like in production.

Prompt-based pricing model — plan carefully around your actual prompt volume. Integration with Surfer's content scoring is useful for teams that already use Surfer for content optimization. AI visibility features are native to the Surfer interface rather than an external dashboard. Verify that prompt-count limits suit your monitoring needs.

The leading tool for Google Maps grid rank tracking. AI model coverage is limited — this is primarily a local search tool, not an AI visibility platform. Highly relevant for contractors and local service businesses that need to understand Maps position before investing in broader AI tracking.

AI traffic analysis and impressions management are useful operational features. Crawler analytics suggest a technical SEO foundation. No public pricing. Verify how AI traffic is measured — this is still a methodologically complex area across the industry.

Unusual focus on ecommerce and shopping AI features, including Amazon Rufus — a less common coverage area. Useful for product brands, less relevant for service businesses. No public pricing.

Five-model coverage including Bing Copilot with daily scoring and alerts. Historical trend tracking is a strong feature for teams tracking AI visibility over time. No public pricing information — requires direct contact.

PR and comms-oriented positioning — identifying which journalists and outlets are being cited by AI systems is a distinctive feature for media relations teams. Not built for technical SEO or optimization workflows. No public pricing.

Seven-model coverage at usage-based pricing starting at $30. Programmatic URL warm-up and AI page indexing are technically differentiated features for teams managing content at scale. Most relevant for technical and content teams rather than brand monitoring workflows.

Primarily a content operations and workflow tool with AI visibility integration. Different use case from monitoring-focused platforms — Airops is for teams that want to automate content creation and optimization workflows connected to AI answer engines. Free plan available.

JSON-LD and LLMs.txt generation within a monitoring platform is useful for teams running technical AEO alongside tracking. ICP (Ideal Customer Profile) simulator is an uncommon feature. Opportunity Explorer suggests optimization guidance beyond dashboards. Verify depth of competitive insights at this price tier.

Hallucination detection and prompt injection testing are technically differentiated features not found in most monitoring platforms. Dev-friendly dashboards make it more accessible to engineering teams. Limited to three models. Most relevant for brands that need to actively manage AI factual accuracy about their products or services.

No public feature information available at time of review. No pricing listed. Verify product status and feature set before considering for any monitoring program.